Laguna S 2.1 vs Sakana Namazu: Specs & Benchmark Comparison
| Characteristic | Laguna S 2.1 | Sakana Namazu |
|---|---|---|
| Company | Poolside | Sakana AI |
| Release Date | July 21, 2026 | August 3, 2026 |
| Parameters | 118B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 256K |
| Context (output) | — | 256K |
| Input Price / 1M | $0.10 | $0.95 |
| Output Price / 1M | $0.20 | $4.00 |
| Average Score | 0.6 | 0.9 |
Verdict
Laguna S 2.1 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Laguna S 2.1 — 0.6, Sakana Namazu — 0.9.
API Cost
Laguna S 2.1 is 16.5x cheaper: input $0.10/1M vs $0.95/1M tokens.
Context Window
Laguna S 2.1 supports a larger context: 1M vs 256K tokens.
Recency
Both models were released around the same time: 7/21/2026 and 8/3/2026.
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Frequently Asked Questions
Which is better for coding — Laguna S 2.1 or Sakana Namazu?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Laguna S 2.1 or Sakana Namazu?
Laguna S 2.1 is cheaper for input: $0.10 per 1M tokens vs $0.95.
Which has a larger context window — Laguna S 2.1 or Sakana Namazu?
Laguna S 2.1 supports a larger context: 1,048,576 tokens vs 256,000.
The Laguna S 2.1 and Sakana Namazu comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Laguna S 2.1 or Sakana Namazu page. See also the complete list of AI model comparisons.